Kode Mata KuliahGD2101 / 3 SKS
Penyelenggara151 - Geodesy and Geomatics Engineering / FITB
KategoriLecture
Bahasa IndonesiaEnglish
Nama Mata KuliahStatistika dan ProbabilistikStatistics and Probabilistics
Bahan Kajian
  1. Ukuran probabilitas dan fungsi densitas
  2. Ekspektasi matematis dan variansi
  3. Kovariansi dan korelasi
  4. Probabilitas bersyarat dan hukum Bayes
  5. Estimasi kuadrat rata-rata minimum
  6. Distribusi normal, chi-squared, t dan F
  7. Distribusi normal, chi-squared, t dan F
  8. Variabel acak, rata-rata, variansi, dan standar deviasi
  9. Estimasi rata-rata, variansi, dan kovariansi
  10. Pengujuan statistik dan interval kepercayaan
  1. Probability measures and density functions
  2. Mathematical expectation and variance
  3. Covariance and correlation
  4. Conditional probability and Bayes' law
  5. Minimum mean square estimation
  6. Normal, chi-squared, t and F distributions
  7. Normal, chi-squared, t and F distributions
  8. Random variables, mean, variance and standard deviation
  9. Estimation of mean, variance and covariance
  10. Statistical testing and confidence intervals
Capaian Pembelajaran Mata Kuliah (CPMK)
  1. Mampu menjelaskan konsep ukuran probabilitas dan fungsi densitas
  2. Mampu menjelaskan konsep ekspektasi matematis dan variansi
  3. Mampu menjelaskan konsep kovariansi dan korelasi
  4. Mampu menjelaskan konsep probalitas bersyarat dan hukum Bayes
  5. Mampu menjelaskan konsep estimasi kuadrat rata-rata minimum
  6. Mampu menjelaskan konsep distribusi normal, chi-squared, t dan F
  7. Mampu menjelaskan konsep variabel acak, rata-rata, variansi, dan standar deviasi
  8. Mampu menjelaskan konsep estimasi rata-rata, variansi, dan kovariansi
  9. Mampu menjelaskan konsep Pengujuan statistik dan interval kepercayaan
  1. Able to explain the concept of probability measure and density function
  2. Able to explain the concept of mathematical expectation and variance
  3. Able to explain the concepts of covariance and correlation
  4. Able to explain the concept of conditional probability and Bayes law
  5. Able to explain the concept of minimum mean square estimation
  6. Able to explain the concept of normal, chi-squared, t and F distribution
  7. Able to explain the concepts of random variables, mean, variance, and standard deviation
  8. Able to explain the concepts of mean, variance, and covariance estimation
  9. Able to explain the concept of statistical testing and confidence intervals
Metode PembelajaranPBL, CBL, PjBLPBL, CBL, PjBL
Modalitas PembelajaranLuring, Sinkron, AsinkronOffline, Synchronous, Asynchronous
Jenis NilaiABCDE
Metode PenilaianTertulis: Pilihan, Uraian, Esai Lisan: Presentasi Tugas: LaporanWritten: Optional, Description, Essay Oral: Presentation Assignment: Report
Catatan Tambahan